DocumentCode :
2300682
Title :
Calibration-free rolling shutter removal
Author :
Grundmann, Matthias ; Kwatra, Vivek ; Castro, Daniel ; Essa, Irfan
fYear :
2012
fDate :
28-29 April 2012
Firstpage :
1
Lastpage :
8
Abstract :
We present a novel algorithm for efficient removal of rolling shutter distortions in uncalibrated streaming videos. Our proposed method is calibration free as it does not need any knowledge of the camera used, nor does it require calibration using specially recorded calibration sequences. Our algorithm can perform rolling shutter removal under varying focal lengths, as in videos from CMOS cameras equipped with an optical zoom. We evaluate our approach across a broad range of cameras and video sequences demonstrating robustness, scaleability, and repeatability. We also conducted a user study, which demonstrates preference for the output of our algorithm over other state-of-the art methods. Our algorithm is computationally efficient, easy to parallelize, and robust to challenging artifacts introduced by various cameras with differing technologies.
Keywords :
CMOS image sensors; distortion; image sequences; video cameras; video streaming; CMOS cameras; calibration-free rolling shutter removal; focal lengths; optical zoom; repeatability; robustness; rolling shutter distortions; scaleability; specially recorded calibration sequences; uncalibrated streaming videos; Abstracts; Equations; Robustness; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Photography (ICCP), 2012 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-1660-6
Type :
conf
DOI :
10.1109/ICCPhot.2012.6215213
Filename :
6215213
Link To Document :
بازگشت